Evidence map›Paper›PMID 40066107›Full record

ArticleBrain communications2025

Exploring functional connectivity in clinical and data-driven groups of preterm and term adults.

Laila Hadaya, František Váša, Konstantina Dimitrakopoulou, Mansoor Saqi, Sukhwinder S Shergill, A David Edwards, Dafnis Batalle, Robert Leech, Chiara Nosarti

Abstract read
In one paragraph

Article in Brain communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Laila HadayaDepartment of Early Life Imaging, School of Biomedical Engineering & Imaging Sciences, King's College London, London SE1 7EH, UK.ORCID https://orcid.org/0000-0002-6484-1090
František VášaDepartment of Neuroimaging, IoPPN, King's College London, London SE5 8AB, UK.
Konstantina DimitrakopoulouTranslational Bioinformatics Platform, NIHR Biomedical Research Centre, Guy's and St. Thomas' NHS Foundation Trust and King's College London, London SE1 9RT, UK.
Mansoor SaqiTranslational Bioinformatics Platform, NIHR Biomedical Research Centre, Guy's and St. Thomas' NHS Foundation Trust and King's College London, London SE1 9RT, UK.
Sukhwinder S ShergillKent and Medway Medical School, Canterbury CT2 7FS, UK.
A David EdwardsDepartment of Early Life Imaging, School of Biomedical Engineering & Imaging Sciences, King's College London, London SE1 7EH, UK.ORCID https://orcid.org/0000-0003-4801-7066
Dafnis BatalleDepartment of Early Life Imaging, School of Biomedical Engineering & Imaging Sciences, King's College London, London SE1 7EH, UK.ORCID https://orcid.org/0000-0003-2097-979X
Robert LeechDepartment of Neuroimaging, IoPPN, King's College London, London SE5 8AB, UK.
Chiara NosartiDepartment of Early Life Imaging, School of Biomedical Engineering & Imaging Sciences, King's College London, London SE1 7EH, UK.ORCID https://orcid.org/0000-0001-6305-9710

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adults born very preterm (i.e. at <33 weeks' gestation) are more susceptible to long-lasting structural and functional brain alterations and cognitive and socio-emotional difficulties, compared with full-term controls. However, behavioural heterogeneity within very preterm and full-term individuals makes it challenging to find biomarkers of specific outcomes. To address these questions, we parsed brain-behaviour heterogeneity in participants subdivided according to their clinical birth status (very preterm versus full term) and/or data-driven behavioural phenotype (regardless of birth status). Participants were followed-up in adulthood (median age 30 years) as part of a wider longitudinal case-control cohort study. The Network Based Statistic approach was used to identify topological components of resting state functional connectivity differentiating between (i) 116 very preterm and 83 full-term adults (43% and 57% female, respectively) and (ii) data-driven behavioural subgroups identified using consensus clustering (

Indexed as

behaviourclusteringpreterm birthresting state functional MRI

Identifiers

PMID40066107
PMCPMC11891483

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.